
<table style="text-align:center"><tr><td colspan="3" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td colspan="2"><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="2" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>exit</td><td>factor(immig)</td></tr>
<tr><td style="text-align:left"></td><td><em>generalized linear</em></td><td><em>cumulative</em></td></tr>
<tr><td style="text-align:left"></td><td><em>mixed-effects</em></td><td><em>link</em></td></tr>
<tr><td style="text-align:left"></td><td>(1)</td><td>(2)</td></tr>
<tr><td colspan="3" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">fb_d</td><td>2.25<sup>**</sup> (0.81)</td><td>-0.47 (0.64)</td></tr>
<tr><td style="text-align:left">fb_lag</td><td>2.64<sup>**</sup> (0.88)</td><td>-2.09<sup>**</sup> (0.75)</td></tr>
<tr><td style="text-align:left">age</td><td>-3.88<sup>**</sup> (0.14)</td><td>1.09<sup>**</sup> (0.09)</td></tr>
<tr><td style="text-align:left">education</td><td>0.18<sup>**</sup> (0.07)</td><td>-1.59<sup>**</sup> (0.05)</td></tr>
<tr><td style="text-align:left">tenure</td><td>-1.09<sup>**</sup> (0.07)</td><td>0.20<sup>**</sup> (0.05)</td></tr>
<tr><td style="text-align:left">ideology</td><td>-0.25<sup>**</sup> (0.06)</td><td>1.24<sup>**</sup> (0.05)</td></tr>
<tr><td style="text-align:left">income</td><td>0.04 (0.07)</td><td>-0.32<sup>**</sup> (0.05)</td></tr>
<tr><td style="text-align:left">gender</td><td>0.06<sup>**</sup> (0.04)</td><td>0.15<sup>**</sup> (0.03)</td></tr>
<tr><td style="text-align:left">own</td><td>-0.89<sup>**</sup> (0.04)</td><td>0.02 (0.03)</td></tr>
<tr><td style="text-align:left">kids</td><td>-0.13<sup>**</sup> (0.02)</td><td>-0.01 (0.01)</td></tr>
<tr><td style="text-align:left">hispanic</td><td>-0.44<sup>**</sup> (0.07)</td><td>-0.08<sup>*</sup> (0.06)</td></tr>
<tr><td style="text-align:left">asian</td><td>-0.41<sup>**</sup> (0.11)</td><td>0.33<sup>**</sup> (0.10)</td></tr>
<tr><td style="text-align:left">pctunemp</td><td>1.54<sup>**</sup> (0.28)</td><td>-0.65<sup>**</sup> (0.22)</td></tr>
<tr><td style="text-align:left">pcthisp</td><td>-0.13 (0.23)</td><td>0.58<sup>**</sup> (0.19)</td></tr>
<tr><td style="text-align:left">pctasian</td><td>-0.15 (0.25)</td><td>-0.42<sup>**</sup> (0.22)</td></tr>
<tr><td style="text-align:left">medhsvl</td><td>-0.36<sup>**</sup> (0.18)</td><td>-0.53<sup>**</sup> (0.15)</td></tr>
<tr><td style="text-align:left">fb_d:fb_lag</td><td>-5.91<sup>**</sup> (2.52)</td><td>6.23<sup>**</sup> (2.13)</td></tr>
<tr><td style="text-align:left">Constant</td><td>-0.09 (0.26)</td><td></td></tr>
<tr><td colspan="3" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>22,231</td><td>20,260</td></tr>
<tr><td style="text-align:left">Log Likelihood</td><td>-10,156.67</td><td>-27,822.86</td></tr>
<tr><td style="text-align:left">Akaike Inf. Crit.</td><td>20,351.33</td><td></td></tr>
<tr><td style="text-align:left">Bayesian Inf. Crit.</td><td>20,503.51</td><td></td></tr>
<tr><td colspan="3" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td colspan="2" style="text-align:right"><sup>*</sup>p<0.2; <sup>**</sup>p<0.1; <sup>***</sup>p<[0.***]</td></tr>
</table>
